Module 06-26644 (2016)
Computational Tools for Modelling and Analysis
|Iain Styles Hamid Dehghani Ela Claridge||Semester 1||10 credits|
This module introduces concepts, techniques and tools for the computational modelling and analysis of data from medicine and biology. The key schemes for data representation and a survey of state-of-the art methods for statistical data analysis, machine learning optimisation, classification, cluster analysis, data reduction and image analysis will be presented in examples drawn from a range of sources of biomedical data. The module will also provide both theoretical background and practical experience of implementing and applying the techniques.
The aims of this module are to:
Please see module outline above.
On successful completion of this module, the student should be able to:
- Explain and apply mathematical and computational methods for the modelling and analysis of biomedical data.
- Analyse biomedical research problems and identify suitable modelling and analysis strategies.
- Write software to implement a range of modelling and analysis methods, and critically appraise their use on different problems.
Lectures, seminars, laboratory / exercise classes
Sessional: Continuous assessment: : 30%. Structured written unseen examination of 1.5 hours: 70%.
Supplementary (where allowed): Re-submission of exercise/laboratory reports: 30%. Re-sit of structured written unseen examination of 1.5 hours: 70%.